Swarm scheduling approaches for work-flow applications with security constraints in distributed data-intensive computing environments

The scheduling problem in distributed data-intensive computing environments has become an active research topic due to the tremendous growth in grid and cloud computing environments. As an innovative distributed intelligent paradigm, swarm intelligence provides a novel approach to solving these potentially intractable problems. In this paper, we formulate the scheduling problem for work-flow applications with security constraints in distributed data-intensive computing environments and present a novel security constraint model. Several meta-heuristic adaptations to the particle swarm optimization algorithm are introduced to deal with the formulation of efficient schedules. A variable neighborhood particle swarm optimization algorithm is compared with a multi-start particle swarm optimization and multi-start genetic algorithm. Experimental results illustrate that population based meta-heuristics approaches usually provide a good balance between global exploration and local exploitation and their feasibility and effectiveness for scheduling work-flow applications. © 2010 Elsevier Inc. All rights reserved.

Using data envelopment analysis to assess the efficiency of social security systems: the case of income protection in old age

As the number of pensioners in Europe rises relative to the number of people in employment, the gap between the contributions and the benefit levels increases, and consequently ensuring adequate pensions on a sustainable basis has become a major challenge. This study aims to explore the potential of using the Data Envelopment Analysis (DEA) technique in order to access the efficiency of the income protection in old age, one of the most important branches of Social Security. To this effect, we collected data from the 27 European Union Member States regarding this branch. Our results show important differences among the Member States and stress the importance of identifying best practices to achieve more adequate, sustainable and modernised pension systems. Our results also highlight the importance of using DEA as a decision support tool for policy makers.

The single principle of compositional data analysis, continuing fallacies, confusions and misunderstandings and some suggested remedies

In any discipline, where uncertainty and variability are present, it is important to have principles which are accepted as inviolate and which should therefore drive statistical modelling, statistical analysis of data and any inferences from such an analysis. Despite the fact that two such principles have existed over the last two decades and from these a sensible, meaningful methodology has been developed for the statistical analysis of compositional data, the application of inappropriate and/or meaningless methods persists in many areas of application. This paper identifies at least ten common fallacies and confusions in compositional data analysis with illustrative examples and provides readers with necessary, and hopefully sufficient, arguments to persuade the culprits why and how they should amend their ways

COMP1205 Data protection and security

Published on Jun 7, 2012 by icocomms This ICO training video helps answer questions about the Data Protection Act, its impact on the working environment and how to handle and protect people's information. (Produced by Central Office of Information, Crown Copyright 2006)

First-principle data-driven models for assessment of motor disorders in Parkinson’s disease

Parkinson’s disease (PD) is an increasing neurological disorder in an aging society. The motor and non-motor symptoms of PD advance with the disease progression and occur in varying frequency and duration. In order to affirm the full extent of a patient’s condition, repeated assessments are necessary to adjust medical prescription. In clinical studies, symptoms are assessed using the unified Parkinson’s disease rating scale (UPDRS). On one hand, the subjective rating using UPDRS relies on clinical expertise. On the other hand, it requires the physical presence of patients in clinics which implies high logistical costs. Another limitation of clinical assessment is that the observation in hospital may not accurately represent a patient’s situation at home. For such reasons, the practical frequency of tracking PD symptoms may under-represent the true time scale of PD fluctuations and may result in an overall inaccurate assessment. Current technologies for at-home PD treatment are based on data-driven approaches for which the interpretation and reproduction of results are problematic.  The overall objective of this thesis is to develop and evaluate unobtrusive computer methods for enabling remote monitoring of patients with PD. It investigates first-principle data-driven model based novel signal and image processing techniques for extraction of clinically useful information from audio recordings of speech (in texts read aloud) and video recordings of gait and finger-tapping motor examinations. The aim is to map between PD symptoms severities estimated using novel computer methods and the clinical ratings based on UPDRS part-III (motor examination). A web-based test battery system consisting of self-assessment of symptoms and motor function tests was previously constructed for a touch screen mobile device. A comprehensive speech framework has been developed for this device to analyze text-dependent running speech by: (1) extracting novel signal features that are able to represent PD deficits in each individual component of the speech system, (2) mapping between clinical ratings and feature estimates of speech symptom severity, and (3) classifying between UPDRS part-III severity levels using speech features and statistical machine learning tools. A novel speech processing method called cepstral separation difference showed stronger ability to classify between speech symptom severities as compared to existing features of PD speech. In the case of finger tapping, the recorded videos of rapid finger tapping examination were processed using a novel computer-vision (CV) algorithm that extracts symptom information from video-based tapping signals using motion analysis of the index-finger which incorporates a face detection module for signal calibration. This algorithm was able to discriminate between UPDRS part III severity levels of finger tapping with high classification rates. Further analysis was performed on novel CV based gait features constructed using a standard human model to discriminate between a healthy gait and a Parkinsonian gait. The findings of this study suggest that the symptom severity levels in PD can be discriminated with high accuracies by involving a combination of first-principle (features) and data-driven (classification) approaches. The processing of audio and video recordings on one hand allows remote monitoring of speech, gait and finger-tapping examinations by the clinical staff. On the other hand, the first-principles approach eases the understanding of symptom estimates for clinicians. We have demonstrated that the selected features of speech, gait and finger tapping were able to discriminate between symptom severity levels, as well as, between healthy controls and PD patients with high classification rates. The findings support suitability of these methods to be used as decision support tools in the context of PD assessment.

Mass Surveillance of Personal Data by EU Member States and its Compatibility with EU Law. CEPS Liberty and Security in Europe No. 61, 6 November 2013

In the wake of the disclosures surrounding PRISM and other US surveillance programmes, this paper assesses the large-scale surveillance practices by a selection of EU member states: the UK, Sweden, France, Germany and the Netherlands. Given the large-scale nature of these practices, which represent a reconfiguration of traditional intelligence gathering, the paper contends that an analysis of European surveillance programmes cannot be reduced to a question of the balance between data protection versus national security, but has to be framed in terms of collective freedoms and democracy. It finds that four of the five EU member states selected for in-depth examination are engaging in some form of large-scale interception and surveillance of communication data, and identifies parallels and discrepancies between these programmes and the NSA-run operations. The paper argues that these programmes do not stand outside the realm of EU intervention but can be analysed from an EU law perspective via i) an understanding of national security in a democratic rule of law framework where fundamental human rights and judicial oversight constitute key norms; ii) the risks posed to the internal security of the Union as a whole as well as the privacy of EU citizens as data owners and iii) the potential spillover into the activities and responsibilities of EU agencies. The paper then presents a set of policy recommendations to the European Parliament.

The Political and Judicial Life of Metadata: Digital Rights Ireland and the Trail of the Data Retention Directive. CEPS Paper in Liberty and Security No. 65, May 2014

This paper examines the challenges facing the EU regarding data retention, particularly in the aftermath of the judgment Digital Rights Ireland by the Court of Justice of the European Union (CJEU) of April 2014, which found the Data Retention Directive 2002/58 to be invalid. It first offers a brief historical account of the Data Retention Directive and then moves to a detailed assessment of what the judgment means for determining the lawfulness of data retention from the perspective of the EU Charter of Fundamental Rights: what is wrong with the Data Retention Directive and how would it need to be changed to comply with the right to respect for privacy? The paper also looks at the responses to the judgment from the European institutions and elsewhere, and presents a set of policy suggestions to the European institutions on the way forward. It is argued here that one of the main issues underlying the Digital Rights Ireland judgment has been the role of fundamental rights in the EU legal order, and in particular the extent to which the retention of metadata for law enforcement purposes is consistent with EU citizens’ right to respect for privacy and to data protection. The paper offers three main recommendations to EU policy-makers: first, to give priority to a full and independent evaluation of the value of the data retention directive; second, to assess the judgment’s implications for other large EU information systems and proposals that provide for the mass collection of metadata from innocent persons, in the EU; and third, to adopt without delay the proposal for Directive COM(2012)10 dealing with data protection in the fields of police and judicial cooperation in criminal matters.

‘Wrong number?’ The Use and Misuse of Asylum Data in the European Union. CEPS Paper in Liberty and Security in Europe No. 69/December 2014

The Common European Asylum System (CEAS) is an EU policy area that is particularly evocative of the ‘politics of numbers’. The European Union has at its disposal a wide array of sources providing detailed information about the capacities and pressures of its member states’ asylum systems. This paper discusses the content of asylum data and the evolving interaction between its different sources, ranging from the United Nations High Commissioner for Refugees to the European Commission’s EUROSTAT and DG HOME, the European Asylum Support Office, FRONTEX, the European Migration Network (EMN) and national databases. However, the way in which such data are often misused, or even omitted, in political debate affects the soundness of policy decisions in the CEAS. Drawing on debates over the contested phenomenon of ‘asylum shopping’ and the exemption of victims of torture and unaccompanied minors from accelerated and border procedures in the recast asylum procedures Directive, this briefing paper argues that solid data-based evidence is often absent from political negotiations on CEAS measures affecting refugees and asylum-seekers.

The EU Counter-Terrorism Policy Responses to the Attacks in Paris: Towards an EU Security and Liberty Agenda. CEPS Liberty and Security in Europe No. 81/February 2015

This paper examines the main EU-level initiatives that have been put forward in the weeks following the attacks in Paris in January 2015, which will be discussed in the informal European Council meeting of 12 February 2015. It argues that a majority of these proposals predated the Paris shootings and had until that point proved contentious as regards their efficacy, legitimacy and lawfulness. The paper finds that EU counterterrorism responses raise two fundamental challenges: A first challenge is posed to the freedom of movement, Schengen and EU citizenship. Priority is being given to the expanded use of large-scale surveillance and systematic monitoring of all travellers including EU citizens, which stands in contravention of Schengen and the free movement principle. A second challenge concerns EU democratic rule of law. Current pressures calling for the adoption of measures such as the EU Passenger Name Record challenge the scrutiny roles held by the European Parliament and the Court of Justice of the EU on counterterrorism measures in a post-Lisbon Treaty setting. The paper proposes that the EU adopts a new European Agenda on Security and Liberty based on an EU security (criminal justice-led) cooperation model that is firmly anchored in current EU legal principles and rule of law standards. This model would call for ‘less is more’ concerning the use, processing and retention of data by police and intelligence communities. Instead, it would pursue better and more accurate use of data meeting the quality standards of evidence in criminal judicial proceedings.